About

I’m a product-focused data scientist who works at the intersection of data, product, and decision-making. I focus on turning ambiguous questions into clear metrics, analyses, and actions that shape how products evolve.

I Help Businesses

How I Work

I’ve worked across research, education, and startup environments, where problems are rarely well-defined and decisions need to be made quickly with imperfect information.

Across these experiences, I’ve developed a consistent approach:

clarify the decision before building the analysis
define metrics that reflect real user and business outcomes
explore data to reduce ambiguity
translate findings into actions that teams can execute

I’m most effective when working closely with product managers, engineers, and leadership to align on what matters and move forward with confidence.

Abigail Kambanis

Core Capabilities

Intuitive solutions for better results

I focus on building analytical clarity in complex product environments. My work spans metric definition, experimentation strategy, exploratory analysis, and translating insights into decisions. Rather than optimizing for model complexity, I prioritize approaches that are interpretable, actionable, and aligned with product goals.

What differentiates my work is the combination of technical depth and cross-functional fluency. I’ve worked in environments where I needed to define the problem, design the analysis, and communicate the outcome clearly to stakeholders with different priorities. This allows me to bridge the gap between data and decision-making, especially in early-stage or ambiguous product contexts.